Field trials with a set of 108 doubled haploid lines(DHs) derived from a cross between the Chinese winter wheat cvs.CA9613 and H1488 were run at Beijing(China).Phenotypic data were recorded for major agronomic yield t...Field trials with a set of 108 doubled haploid lines(DHs) derived from a cross between the Chinese winter wheat cvs.CA9613 and H1488 were run at Beijing(China).Phenotypic data were recorded for major agronomic yield traits,i.e.grain weight per ear,grain number per ear and thousand grain weight(Tgw) in two field trials at Beijing.Based on the phenotypic data and a genetic map comprising 168 SSR markers,an analysis of quantitative trait loci(QTL) was carried out for yield and yield parameters using the composite interval mapping(CIM) approach.A total of 14 QTL were detected for these traits across two environments.Four of these QTL located on chromosomes 1A and 2B,respectively,exhibited pleiotropic effects.Loci showing pleiotropic effects will be very useful for understanding the homeologous relationships of QTL and designing an appropriate marker-assisted selection programme by multi-trait selection in order to accumulate("pyramide") favorable alleles at different loci.展开更多
【目的】分析全球小麦Triticum aestivum生物育种研究进展,揭示其研究主题、核心知识元素和前沿热点,为小麦育种的理论研究和学科发展提供参考。【方法】从Web of Science核心合集数据库检索2013—2024年全球小麦生物育种研究领域发表...【目的】分析全球小麦Triticum aestivum生物育种研究进展,揭示其研究主题、核心知识元素和前沿热点,为小麦育种的理论研究和学科发展提供参考。【方法】从Web of Science核心合集数据库检索2013—2024年全球小麦生物育种研究领域发表的文献,利用文献计量学方法分析该领域的发文量、学术影响力、发文主体等,利用VOSviewer生成国家合作网络和关键词共现网络,利用机器学习算法潜在狄利克雷分配(LDA)分析文献摘要,建立语言模型,识别研究主题。【结果】2013年以来全球小麦生物育种研究的科研产出大幅增加,共发表文献16 151篇。中国是全球在该领域发文最多的国家,其次是美国。关键词共现图谱显示,产量、数量性状位点、全基因组关联分析、干旱胁迫、基因表达、单核苷酸多态性是小麦生物育种研究的热点,而规律间隔成簇短回文重复序列(CRISPR)、基因组编辑、高通量表型分析、无人机、机器学习等是近年来兴起的研究领域。LDA分析结果显示:小麦生物育种可大致分为5个研究领域,包括遗传定位、基因组和育种、生物逆境、非生物逆境和产量形成。其中,小麦锈病、数量性状位点定位、面粉品质、干旱、基因组等是高度关注的研究主题。【结论】未来小麦生物育种需要充分利用包括组学、自动表型、人工智能、基因编辑、基因组育种等现代生物技术和信息技术,发掘和利用重要基因,开展智慧育种。展开更多
文摘Field trials with a set of 108 doubled haploid lines(DHs) derived from a cross between the Chinese winter wheat cvs.CA9613 and H1488 were run at Beijing(China).Phenotypic data were recorded for major agronomic yield traits,i.e.grain weight per ear,grain number per ear and thousand grain weight(Tgw) in two field trials at Beijing.Based on the phenotypic data and a genetic map comprising 168 SSR markers,an analysis of quantitative trait loci(QTL) was carried out for yield and yield parameters using the composite interval mapping(CIM) approach.A total of 14 QTL were detected for these traits across two environments.Four of these QTL located on chromosomes 1A and 2B,respectively,exhibited pleiotropic effects.Loci showing pleiotropic effects will be very useful for understanding the homeologous relationships of QTL and designing an appropriate marker-assisted selection programme by multi-trait selection in order to accumulate("pyramide") favorable alleles at different loci.
文摘【目的】分析全球小麦Triticum aestivum生物育种研究进展,揭示其研究主题、核心知识元素和前沿热点,为小麦育种的理论研究和学科发展提供参考。【方法】从Web of Science核心合集数据库检索2013—2024年全球小麦生物育种研究领域发表的文献,利用文献计量学方法分析该领域的发文量、学术影响力、发文主体等,利用VOSviewer生成国家合作网络和关键词共现网络,利用机器学习算法潜在狄利克雷分配(LDA)分析文献摘要,建立语言模型,识别研究主题。【结果】2013年以来全球小麦生物育种研究的科研产出大幅增加,共发表文献16 151篇。中国是全球在该领域发文最多的国家,其次是美国。关键词共现图谱显示,产量、数量性状位点、全基因组关联分析、干旱胁迫、基因表达、单核苷酸多态性是小麦生物育种研究的热点,而规律间隔成簇短回文重复序列(CRISPR)、基因组编辑、高通量表型分析、无人机、机器学习等是近年来兴起的研究领域。LDA分析结果显示:小麦生物育种可大致分为5个研究领域,包括遗传定位、基因组和育种、生物逆境、非生物逆境和产量形成。其中,小麦锈病、数量性状位点定位、面粉品质、干旱、基因组等是高度关注的研究主题。【结论】未来小麦生物育种需要充分利用包括组学、自动表型、人工智能、基因编辑、基因组育种等现代生物技术和信息技术,发掘和利用重要基因,开展智慧育种。
